Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
-
This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
-
applications for a fully funded PhD position in Behavioral Biology (m/w/d) We are in search of a PhD candidate to conduct research within the project “Linking social and communication networks in ring-tailed
-
. Updated information about the recent activities of SPARC can be found here: www.radarmimo.com/ . The group has been working on mmWave radar sensors in different applications, including automotive, indoor
-
qualification (usually PhD). Tasks: scientific research related to the development of novel tactile sensors design and implementation of research Demos support of other functions of the lab as necessary
-
collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage
-
cutting-edge sensor technologies. Led by leading Para sport scientists and transdisciplinary academics, it collaborates with athletes, coaches, industry, ParalympicsGB and UK Sport Institute (UKSI) to
-
monitoring. These applications rely on remote sensors to capture PCs and wirelessly transmit them to edge servers for downstream tasks, such as registration, i.e., aligning multiple PCs within the same 3D
-
. Development of multimodal AI models that fuse data from multiple types of sensors to accurately model and predict wind turbine blade damage. Establish and develop data science pipelines for wind turbine blade
-
combined with soil sensors systems and UAVs with multispectral cameras. Your tasks in detail: Development and application of high resolution time-lapse GPR and EMI imaging methods at multiple scales